Thanks for the quick reply John! Now it makes a lot more sense. The next dumb
question is what is SVN and where can I find more bout it?


John Hunter-4 wrote:
> 
> On Fri, Jan 16, 2009 at 10:33 AM, antonv <vasilescu_an...@yahoo.com>
> wrote:
>>
>> I have a series of 18 separate colors to create my cmap but I would like
>> to
>> convert that to a continuous map which interpolates all the other values
>> in
>> between my chosen colors. This should be really easy but I am not sure
>> how
>> can it be solved. Any ideas?
> 
> Although the logic of the LinearSegmentedColormap takes some time to
> get your head around, it is pretty easy.
> 
>  
> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
> 
> 
> Here is an example:
> 
>     import numpy as np
>     import matplotlib.pyplot as plt
>     import matplotlib.colors as mcolors
>     import matplotlib.cm as cm
>     colors = 'red', 'green', 'blue', 'yellow', 'orange'
> 
>     ncolors = len(colors)
> 
>     vals = np.linspace(0., 1., ncolors)
> 
>     cdict = dict(red=[], green=[], blue=[])
>     for val, color in zip(vals, colors):
>         r,g,b = mcolors.colorConverter.to_rgb(color)
>         cdict['red'].append((val, r, r))
>         cdict['green'].append((val, g, g))
>         cdict['blue'].append((val, b, b))
> 
>     cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
> 
> 
>     x = np.arange(10000.).reshape((100,100))
> 
>     plt.imshow(x, cmap=cmap)
> 
>     plt.show()
> 
> See also
> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
>  I just added a function to svn to support this, so with svn you can
> do
> 
> 
>     colors = 'red', 'gray', 'green'
>     cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
>     X, Y = np.meshgrid(np.arange(10), np.arange(10))
>     plt.imshow(X+Y, cmap=cmap)
> 
> JDH
> 
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